INTERACTIVE COURSE

Unleash the Power of Large Language Models Using LangChain

Beginner

15 Lessons

Certificate of Completion

AI Explanations

19 Playgrounds

6 Quizzes

49 Illustrations

Takeaway Skills

An understanding of large language models and why they are preferred in natural language processing tasks

An understanding of the LangChain framework and how it improves over the functionalities of OpenAI

Familiarity with the core components of LangChain, including models, prompt templates, output parsers, chains, and memory

Hands-on experience implementing a chatbot that responds to queries in multiple languages using the router chain in LangChain

The ability to add tools in agents that connect to external information sources through APIs and use the reasoning and action (ReAct) technique

Working knowledge of the retrieval-augmented generation (RAG) technique to implement question answering from a document

Course Overview

LangChain is an open-source framework that facilitates the integration of large language models (LLMs) to develop LLM-powered applications. You’ll start with an introduction to LLMs and the LangChain framework. Next, you’ll learn how to utilize prompt templates to perform repetitive tasks and parse the output of an LLM. You’ll also learn about different types of chains with their use cases. Additionally, you’ll cover different memory types in LangChain to store the chat history. You’ll also learn how to c...Show More

Course Content

Large Language Models

Introduction to the Course

Introduction to Large Language Models

Introduction to LangChain

What Is LangChain?Use Cases of LangChain

LangChain Basics

Models and Prompts Output Parsers Chains Router Chain Memory Challenge: Language Routing Using Chains

Advanced Features of LangChain

Agents and Tools Retrieval-Augmented Generation (RAG)Hands-On: Question Answering with RAG Challenge: Agents for Question Answering with RAG

Wrapping Up

Conclusion

COURSE AUTHOR

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